Les déchets et l’aménagement des territoires de Buenos Aires et Rio de Janeiro
Bibliographic record
Abstract
Buenos Aires et Rio de Janeiro sont deux métropoles latino-américaines de plus de 10 millions d’habitants ; la gestion des déchets pèse sur l’aménagement de leurs territoires. Cette gestion était souvent prise en charge par le gouvernement central, au nom des enjeux de sécurité sanitaire et de maîtrise d’espaces stratégiques. Ces décisions, prises par des dictatures militaires répressives, ont été remises en cause au cours des années 1990, avec la redistribution des cartes de la gestion par les gouvernements locaux. Les municipalités tentent de tirer leur épingle du jeu, en associant les acteurs publics, privés et associatifs à leurs politiques de durabilité. Les dispositifs de participation démocratique laissent entrevoir le début d’une gouvernance métropolitaine des déchets.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".